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Exploiting spectral signatures for retinal health assessment: a phasor analysis approach

Author

Eskandarinasab, Armin

Rey Barroso, Laura

Brugos Fernández, Francisco Javier

Vilaseca Ricart, Meritxell

Other authors

Universitat Politècnica de Catalunya. Departament d'Òptica i Optometria

Universitat Politècnica de Catalunya. Centre de Desenvolupament de Sensors, Instrumentació i Sistemes

Universitat Politècnica de Catalunya. GREO - Grup de Recerca en Enginyeria Òptica

Publication date

2025

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Abstract

This study applies phasor analysis to multispectral retinal images for automated classification of healthy and diseased cases, achieving high accuracy with a ¿-SVM classifier and first harmonic for the entire retina and macular region.

Funded by European Union (HORIZON–MSCA–2022–DN, GA nº101119924–BE-LIGHT) and by MCIU /AEI/10.13039/501100011033 and FEDER, EU (Grant PID2023-147541OB-I00).

Peer Reviewed

Postprint (published version)

Document Type

Conference report

Language

English

Subjects and keywords

Àrees temàtiques de la UPC::Ciències de la visió; Retina; Fundus oculi; Multispectral photography; Retina; Fons de l'ull; Fotografia multiespectral

Publisher

Optica Publishing Group

Related items

info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-147541OB-I00/ES/NUEVOS ENFOQUES PARA MEDICIONES ESPECTROSCOPICAS Y MORFOLOGICAS PRECISAS EN APLICACIONES BIOLOGICAS/

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Rights

Restricted access - publisher's policy

This item appears in the following Collection(s)

E-prints [72986]